₪ …contour filters that act in a lighting-invariant manner

   Classic or AI-based optical filtering processes do not guarantee constant contour recognition or reproduction of real color impressions in camera operation, since, unlike biological image processing by the eye, they do not self-adapt to lighting situations/lighting changes. As a result, the processed image sequences appear noisy, the object-defining contours are not constant. This makes automated object recognition difficult or impossible.

   On the other hand, we (like all animals) do not see the world in a noisy manner, even when the lighting conditions change quickly.

Why?

   It is bionics that answers this question when you become aware of two things: Firstly, nature cannot count and because it cannot count, it works with potentials and symmetries. Secondly, the temporal change of potentials (and thus the flow of information) always causes the "potential landscape" of all potentials involved to change. This means that the potential-oriented information reception organ is generally changed by the change in the detected information. It therefore acts plastically through adaptation.Taking these specifications into account, IngB RT&S succeeded in defining a symmetry operation whose structure intrinsically contains illumination-independent contour recognition.

  Since they act adaptively, these filter structures do not need to be trained or modified. They act like our eyes.

₪ ... Object enhancement

   Stable contours can of course be enhanced or minimized. We also know this from our sense of light. Due to our attention, we adapt to objects or parts of objects in order to emphasize nuances, recognize underlying structural components or imagine things in a three-dimensional way.

   It was previously thought that this object manipulation took place in the brain, but today we know that these effects can be induced by potential-based changes to the first layers of the retina. Again using the symmetry operations mentioned above.

  Follow us using three example applications to see how powerful the symmetry operation we defined - based on the information processing method of the eye - is.